Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

The demand for cost-effective, reliable and safe machinery operation requires accurate fault detection and classification to achieve an efficient maintenance strategy and increase performance. Furthermore, in strategic sectors such as the oil and gas industry, fault prediction plays a key role to ex...

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Bibliographic Details
Main Authors: Pier Francesco Orrù, Andrea Zoccheddu, Lorenzo Sassu, Carmine Mattia, Riccardo Cozza, Simone Arena
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sustainability
Subjects:
predictive maintenance
machine learning
artificial neural networks
oil and gas industry
fault diagnosis
Online Access:https://www.mdpi.com/2071-1050/12/11/4776

Internet

https://www.mdpi.com/2071-1050/12/11/4776

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